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Field
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‑associated virus (AAV) techniques for in vivo gene‑function validation, and to contribute to large‑scale mass‑spectrometry‑based proteomic analyses. The successful candidate will work with a high degree of
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aim to unravel sex-specific chromatin regulation across the animal tree of life by generating and integrating transcriptomes, proteomes, and epigenomes (CUT&Tag) from dozens of species.
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transformations, soil metagenomics and proteomics and isotope geochemistry. The selected candidate will be responsible for field data collection, laboratory analysis, data synthesis, manuscript preparation and
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., proteomics, transcriptomics, imaging, clinical, and biomarker data). The position is ideal for a candidate interested in mechanistic discovery, biomarker development, and translational neuroscience, with
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investigate the dynamics of regulatory networks at the interface of arbuscular mycorrhizal symbiosis and nitrogen-fixing bacteria colonization using molecular biology, proteomics and bioengineering approaches
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not limited to, stable/radio isotope tracing experiments, metabolomic, and proteomic approaches, as well as genetic analyzes. Role of microbial consortia in mitigating perturbation in syngas
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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proteomic techniques as well as human stem cell models. The candidate must be comfortable with advanced molecular biology techniques and bioinformatics. We are seeking a self-directed, self-motivated, curious
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
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-driven, quantitative analysis. The laboratory integrates large-scale methods such as transcriptomics, proteomics, metabolomics, and network biology to understand how viruses reshape host cell systems on a